The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
A Unified Transmission Strategy for TDD/FDD Massive MIMO Systems With Spatial Basis Expansion Model
Abstract
This paper proposes a unified transmission strategy for multiuser time division duplex (TDD)/frequency division duplex (FDD) massive multiple-input-multiple-output (MIMO) systems, including uplink (UL)/downlink (DL) channel estimation and user scheduling for data transmission. With the aid of antenna array theory and array signal processing, we build a spatial basis expansion model (SBEM) to represent the UL/DL channels with far fewer parameter dimensions. Hence, both the UL and DL channel estimations of multiusers can be carried out with a small amount of training resource, which significantly reduces the training overhead and feedback cost. Meanwhile, the pilot contamination problem in the UL training is immediately relieved by exploiting the spatial information of users. To enhance the spectral efficiency, we also design a greedy user scheduling scheme during the data transmission period. Compared with existing low-rank models, the newly proposed SBEM offers an alternative for channel acquisition without the need for channel statistics and can be applied to both TDD and FDD systems. Various numerical results are provided to corroborate the proposed studies.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Boyd, S., & Vandenberghe, L. (2004) · doi:10.1017/cbo9780511804441 · Cited by 56,601
Massive MIMO for next generation wireless systems
Larsson, E. G., Edfors, O., Tufvesson, F., & Marzetta, T. L. (2014) · IEEE Communications Magazine · doi:10.1109/mcom.2014.6736761 · Cited by 6,779
Noncooperative Cellular Wireless with Unlimited Numbers of Base Station Antennas
Marzetta, T. L. (2010) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2010.092810.091092 · Cited by 6,302
Scaling Up MIMO: Opportunities and Challenges with Very Large Arrays
Rusek, F., Persson, D., Lau, B. K., Larsson, E. G., Marzetta, T. L., & Tufvesson, F. (2013) · IEEE Signal Processing Magazine · doi:10.1109/msp.2011.2178495 · Cited by 4,654
Scaling up MIMO: Opportunities and challenges with very large arrays
Rusek, F., Persson, D., Lau, B. K., Larsson, E. G., Marzetta, T. L., Edfors, O., Tufvesson, F., Print, P., Rusek, F., Persson, D., et al. (2013) · Cited by 4,089
Massive MIMO in the UL/DL of Cellular Networks: How Many Antennas Do We Need?
Hoydis, J., ten Brink, S., & Debbah, M. (2013) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2013.130205 · Cited by 2,361
How much training is needed in multiple-antenna wireless links?
Hassibi, B., & Hochwald, B. M. (2003) · IEEE Transactions on Information Theory · doi:10.1109/tit.2003.809594 · Cited by 2,312
Joint Spatial Division and Multiplexing—The Large-Scale Array Regime
Adhikary, A., Nam, J., Ahn, J.-Y., & Caire, G. (2013) · IEEE Transactions on Information Theory · doi:10.1109/tit.2013.2269476 · Cited by 1,317
A Coordinated Approach to Channel Estimation in Large-Scale Multiple-Antenna Systems
Yin, H., Gesbert, D., Filippou, M., & Liu, Y. (2013) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2013.130214 · Cited by 1,164
Deconstructing multiantenna fading channels
Sayeed, A. M. (2002) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2002.803324 · Cited by 1,120
Cited by
Deep Learning for Super-Resolution Channel Estimation and DOA Estimation Based Massive MIMO System
Huang, H., Yang, J., Huang, H., Song, Y., & Gui, G. (2018) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2018.2851783 · Cited by 818
Channel Estimation for Orthogonal Time Frequency Space (OTFS) Massive MIMO
Shen, W., Dai, L., An, J., Fan, P., & Heath, R. W. (2019) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2019.2919411 · Cited by 459
Cell-Free Massive MIMO: A Survey
Elhoushy, S., Ibrahim, M., & Hamouda, W. (2022) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2021.3123267 · Cited by 448
Wang, B., Dai, L., Wang, Z., Ge, N., & Zhou, S. (2017) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2017.2725878 · Cited by 339
Low-Rank Tensor Decomposition-Aided Channel Estimation for Millimeter Wave MIMO-OFDM Systems
Zhou, Z., Fang, J., Yang, L., Li, H., Chen, Z., & Blum, R. S. (2017) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2017.2699338 · Cited by 309
Metadata
- Authors
- Xie, H., Gao, F., Zhang, S., & Jin, S.
- Venue
- IEEE Transactions on Vehicular Technology
- Published
- 2017-04
- Volume
- 66
- Issue
- 4
- Pages
- 3170-3184
- ISSN
- 0018-9545 (ISSN-L)
- 1939-9359
- OpenAlex
- W2490222774
- Cited by
- 454
- References
- 25
- FWCI
- 33.69
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A Unified Transmission Strategy for TDD/FDD Massive MIMO Systems With Spatial Basis Expansion Model. https://app.cochat.ai/papers/10.1109/tvt.2016.2594706
- The paper
- Xie, H., Gao, F., Zhang, S., & Jin, S. (2017). A Unified Transmission Strategy for TDD/FDD Massive MIMO Systems With Spatial Basis Expansion Model. IEEE Transactions on Vehicular Technology. https://doi.org/10.1109/tvt.2016.2594706
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.